Performance comparison of Julia and Python programming languages on GPU and CPU

<ns3:p>The paper presents research on the time performance of each language when performing operations on the CPU (central processing unit) and GPU (graphics processing unit).This article should be considered as a coherent continuation of the first part. The paper has been divided due to existing editorial criteria. The work includes descriptions of the technologies used and the algorithms that served the research purposes. Algorithms prepared with care to maintain equal use of functions by both programming languages based on block diagrams and pseudocode are presented. The paper first presents the research carried out on the basis of sorting algorithms implemented by the Author and executed on the processor. The next part of the paper presents research verifying the performance of Julia and Python programming languages on graphics cards, with a special focus on the implementation of matrix operations. The article is concluded with a discussion of the time performance of each programming language.</ns3:p>